Sarcopenia in end-stage kidney disease patients requiring dialysis is a frequent complication but remains an under-recognized problem. This meta-analysis was conducted to determine the prevalence of sarcopenia and explored its impacts on clinical outcomes, especially cardiovascular events, and mortality in dialysis patients. The eligible studies were searched from PubMed, Scopus, and Cochrane Central Register of Controlled trials up to 31 March 2022. We included studies that reported the interested outcomes, and the random-effects model was used for analysis. Forty-one studies with 7576 patients were included. The pooled prevalence of sarcopenia in dialysis patients was 25.6% (95% CI 22.1 to 29.4%). Sarcopenia was significantly associated with higher mortality risk (adjusted OR 1.83 (95% CI 1.40 to 2.39)) and cardiovascular events (adjusted OR 3.80 (95% CI 1.79 to 8.09)). Additionally, both low muscle mass and low muscle strength were independently related to increased mortality risk in dialysis patients (OR 1.71; 95% CI (1.20 to 2.44), OR 2.15 (95% CI 1.51 to 3.07)), respectively. This meta-analysis revealed that sarcopenia was highly prevalent among dialysis patients and shown to be an important predictor of cardiovascular events and mortality. Future intervention research to alleviate this disease burden in dialysis patients is needed.

Emerging evidence supports the beneficial effects of dietary fiber supplementation in alleviating gut dysbiosis, which leads to a reduction in uremic toxins and inflammatory markers in chronic kidney disease (CKD) patients. However, current evidence-based renal nutrition guidelines do not provide recommendations regarding dietary fiber intake. We performed a systematic review and meta-analysis to investigate and highlight the effects of dietary fiber supplementation on modulating uremic toxins and inflammatory markers in individuals with CKD, with or without dialysis. The eligible randomized controlled trials (RCTs) were identified from PubMed, Scopus, and Cochrane Central Register of Controlled trials until 27 November 2024. The results were synthesized using a random-effects model and presented as standardized mean differences (SMDs) with a 95% confidence interval (CI). A total of 21 studies with 700 patients were included. When compared with the control group, dietary fiber supplementation ranging from 6 to 50 g/day, for typically more than 4 weeks, could significantly reduce the levels of serum uremic toxins, including p-cresyl sulfate, indoxyl sulfate, and blood urea nitrogen (SMD −0.22, −0.34, −0.25, respectively, with p-values < 0.05), as well as biomarkers of inflammation, including interleukin-6 and tumor necrosis factor alpha (SMD −0.44, −0.34, respectively, with p-values < 0.05). These beneficial effects were consistent across different types of fibers and CKD status (with or without dialysis). However, no significant reduction in serum trimethylamine N-oxide, uric acid, and high-sensitivity C-reactive protein levels was observed with dietary fiber intervention. This study would pave the way for prioritizing dietary quality, particularly a fiber-rich diet, beyond the traditional focus on the quantities of protein, energy, and electrolyte restrictions among individuals with CKD.

Systematic reviews and meta-analyses play a pivotal role in evidence-based medicine, including nephrology, by consolidating findings from multiple studies. To maximize their utility, rigorous quality assessment during peer review is essential. Challenges such as heterogeneity, bias, and methodological flaws often undermine these studies, necessitating a structured appraisal process. This guide outlines a framework for nephrologists on appraising systematic reviews and meta-analyses. Key areas include heterogeneity assessment using the I² statistic, interpretation of forest plots for pooled effect estimates, and the use of funnel plots with Egger's test to identify potential publication bias. Risk of bias is evaluated using RoB 2 for randomized controlled trials and ROBINS-I for non-randomized studies. Subgroup and sensitivity analyses, along with meta-regression, address heterogeneity and examine the robustness of findings. The I² statistic quantifies heterogeneity by estimating the proportion of variability in a meta-analysis. Funnel plots and Egger's test help detect publication bias. Major biases, such as selection, performance, detection, and publication bias, are identified using structured tools like AMSTAR 2, Cochrane RoB 2, and ROBINS-I. The GRADE framework further assesses the overall certainty of the evidence. Emphasis is placed on PRISMA compliance, protocol pre-registration, and transparent reporting of statistical analyses, subgroup, and sensitivity assessments. The inclusion of grey literature remains optional. By focusing on key areas such as heterogeneity, risk of bias, and robust statistical methods, this guide enables nephrologists to critically appraise systematic reviews and meta-analyses, fostering better clinical decision-making and improved patient care in nephrology.

Background/Objectives: Malnutrition is a prevalent yet under-recognized condition in patients with advanced chronic kidney disease (CKD), contributing to increased morbidity, mortality, and healthcare burden. The aim of this study is to determine the prevalence and trends of malnutrition and investigate the impact of malnutrition on in-hospital outcomes, treatments, and resource utilization in hospitalized patients with advanced CKD. Methods: This study utilized the National Inpatient Sample (NIS) database to identify hospitalized patients with advanced CKD from 2016 to 2021. This study investigated temporal trends in the prevalence and in-hospital mortality across different degrees of malnutrition in advanced CKD patients. Multivariable regression models were used to assess the association between malnutrition and in-hospital outcomes. Results: Out of 1,244,415 advanced CKD patients, 67,587 (5.4%) had mild to moderate malnutrition, and 63,785 (5.1%) had severe malnutrition. Malnourished patients exhibited significantly higher in-hospital mortality, with adjusted odds ratios of 1.70 (95% confidence interval (CI), 1.64–1.75) for mild to moderate cases and 2.67 (95% CI, 2.60–2.75) for severe cases. Severely malnourished patients were associated with longer mean hospital stay by 7.0 days and higher hospitalization costs by $97,767 compared with non-malnourished patients. The prevalence of severe malnutrition showed a significant uptrend from 4.2% in 2016 to 5.5% in 2021 (p for trend < 0.001). Conclusions: Malnutrition in advanced CKD is an increasingly prevalent condition linked to worsened in-hospital outcomes and heightened healthcare resource utilization. The rising trend of severe malnutrition underscores the need for early nutritional screening and the need for future interventional studies to mitigate adverse clinical outcomes in this high-risk population.

Background: Cognitive impairment (CI) is a critical complication in peritoneal dialysis (PD) patients, associated with decreased quality of life and increased hospitalization. Despite its significant impact, the prevalence, risk factors, and consequences of CI in PD patients are not well understood. We aimed to determine the prevalence, risk factors, and outcomes of CI in PD patients. Methods: We performed systematic reviews in OVID Medline, Embase, and Cochrane databases until February 2024 to identify cross-sectional and cohort studies on prevalence of CI (identified by cognitive assessment scales) in PD patients. The Newcastle–Ottawa Scale was used to assess risk of bias. A pooled meta-analysis of CI prevalence in PD and a subgroup analysis comparing the risk of CI between PD and non-PD settings were performed using a random-effects model. Results: A total of 19 studies were identified, involving 2882 PD patients. The pooled prevalence of CI in PD patients was 47.7% (95%CI: 35.8–59.9%). CI in patients undergoing PD appears to be associated with older age, female gender, lower levels of education, and is linked to higher rates of hospitalization and peritonitis, compared to those without CI. However, it is not associated with increased mortality. Compared to hemodialysis, PD showed a trend toward a lower risk of CI (OR 0.64, 95%CI 0.39–1.03; P = .068). Conclusion: CI is highly prevalent and associated with several adverse clinical outcomes in PD patients. These findings could contribute to facilitate the development of screening and early intervention strategies to reduce the burden of disease in this population.

Recently, various instrumental techniques adjunct to standard clinical evaluation have been used to improve fluid balance and guide dry weight adjustments in dialysis populations. We aimed to explore the efficacy and safety of using technology-guided dry weight adjustment among dialysis patients. Systematic review and meta-analysis of randomized controlled trials (RCTs). The search was conducted in PubMed, Scopus, and Cochrane Central Register of Controlled Trials for relevant RCTs published until April 28, 2024. Adult patients with kidney failure with replacement therapy. Studies with patients receiving technology-guided dry weight adjustments. Studies were selected if they reported at least 1 outcome of interest (eg, mortality, cardiovascular [CV] events, hospitalization, intradialytic hypotension, hypovolemic events, cardiac arrhythmia, or vascular access problems). Random-effects meta-analyses were conducted, with risk of bias within studies assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials. A total of 21 RCTs involving 4,239 dialysis patients were analyzed. The meta-analysis revealed that the incorporating technology-guided dry weight adjustment not only was associated with a significant 21% reduction in CV events (relative risk, 0.79; 95% confidence interval [CI], 0.71-0.88) but also resulted in a significant 9% increase in muscle cramps (rate ratio, 1.09; 95% CI, 1.02-1.16). In a subgroup analysis, using bioelectrical impedance analysis was associated with a significant reduction in mortality (relative risk, 0.67; 95% CI, 0.51-0.89). In addition, the intervention led to a significant reduction in pulse wave velocity (mean difference, −2.43 m/s; 95% CI, −4.64 to −0.21). Large number of studies with some concerns or a high risk of bias. Technology-guided strategies for dry weight adjustment significantly reduce CV events and may lower all-cause mortality in dialysis patients. These benefits are particularly evident with bioelectrical impedance analysis--guided interventions. Nonetheless, clinicians should be aware of a modestly increased risk of muscle cramps.